app.py

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
import gradio as gr

# بارگذاری مدل و توکنایزر
model_name = "Persian-English-Translator/en2fa"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

# تابع ترجمه
def translate(text):
    inputs = tokenizer.encode(text, return_tensors="pt", padding=True, truncation=True)
    translated = model.generate(inputs)
    return tokenizer.decode(translated[0], skip_special_tokens=True)

# رابط کاربری Gradio
interface = gr.Interface(
    fn=translate,
    inputs=gr.Textbox(lines=5, placeholder="Enter English text here..."),
    outputs=gr.Textbox(label="Translated to Persian"),
    title="English to Persian Translator",
    description="Type text in English and get the Persian translation."
)
interface.launch()